code: def experiment_config(max_trial, benchmark_algorithms):
      """Return a experiment template configure"""
      config = dict(
          name="experiment-name",
          space={"x": "uniform(0, 200)"},
          metadata={
              "user": "test-user",
              "orion_version": "XYZ",
              "VCS": {
                  "type": "git",
                  "is_dirty": False,
                  "HEAD_sha": "test",
                  "active_branch": None,
                  "diff_sha": "diff",
              },
          },
          version=1,
          pool_size=1,
          max_trials=max_trial,
          working_dir="",
          algorithms=benchmark_algorithms[0],
          producer={"strategy": "NoParallelStrategy"},
      )
      return config
  
file_path: orion/tests/unittests/benchmark/conftest.py
imports: import pytest
  from orion.benchmark.assessment import AverageRank, AverageResult
  from orion.benchmark.task import CarromTable, RosenBrock
label_desc: Use image node_id 6 for calling a global function with example usage: experiment_config(max_trial, benchmark_algorithms) and returns: config